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This work focuses on a general class of nonlinear process systems controlled by a two-tier networked control system integrating a local control system using continuous sensing/actuation with a networked control system using asynchronous sensing/actuation. To deal with control actuator faults that may occur in the closed-loop system and eliminate the ability of the two-tier networked control system...
In this work, we focus on distributed model predictive control of nonlinear systems subject to delayed measurements. Delayed measurements arise naturally in process control applications when, for example, species concentrations or particle size distributions are measured. We design distributed Lyapunov-based model predictive controllers that coordinate their actions and take delayed measurements explicitly...
This work focuses on the application of distributed model predictive control to find the optimal decision variables to maximize profit in supply chains. A reduced version of the MIT beer game made of only two elements is taken as an application example. Three controllers, i.e., a standard centralized model predictive controller, an distributed non-cooperative model predictive controller and a recently...
In this technical note, an algorithm for binary quadratic programs defined by matrices with band structure is proposed. It was shown in the article by T. Alamo, D. M. de la Pentildea, D. Limon, and E. F. Camacho, ldquoConstrained min-max predictive control: modifications of the objective function leading to polynomial complexity,rdquo IEEETran.Autom.Control, vol. 50, pp. 710-714, May 2005, that...
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